gg_roc: Plot AUC Curve

In jbkunst/riskr: Functions to Facilitate the Evaluation, Monitoring and Modeling process

Description

Plot AUC Curve

Usage

gg_roc(target, ...)

Arguments

target	A numeric binary vector (0, 1)
...	A data frame of scores, or a multiples score vectors: score1, score2, etc

Value

the plot

Examples

set.seed(1313)
n <- 5000
score <- runif(n)
score_2 <- score + runif(n)
score_3 <- score + runif(n)
target <- rbinom(n, 1, prob = score)

df <- data.frame(target, score, score_2, score_3)

gg_roc(target, score)
gg_roc(target, model = score, score_3)

library("dplyr")

gg_roc(target,  df %>% select(starts_with("score")))

jbkunst/riskr documentation built on May 18, 2019, 7 p.m.